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The application of wireless sensor networks and wearable technologies for educational purposes: A scoping review

Iyawa, Gloria; Herselman, Marlien; Botha, Adele

Authors

Profile image of Gloria Iyawa

Dr Gloria Iyawa G.E.Iyawa@salford.ac.uk
Senior Lecturer in Software Engineering

Marlien Herselman

Adele Botha



Abstract

Past researches in wireless sensor networks (WSNs) and wearable technologies have mostly been conducted in the field of healthcare for the purpose of patients' health monitoring. However, recent studies in WSNs and wearable technologies suggest that WSNs and wearable technologies have also been used for educational purposes. Despite current research exploring WSNs and wearable technologies for educational purposes, it is less clear as to what has been studied on WSNs and wearable technologies for educational purposes and the research gaps which need to be addressed. The purpose of this study was therefore to conduct a scoping review on the use of WSNs and wearable technologies for educational purposes. The search was conducted through a scoping review which adopted four academic databases: ACM, IEEE Xplore, ScienceDirect and Springer Link. In total, seven publications were identified based on the inclusion and exclusion criteria. The scoping review identified the extent and range of studies which have been conducted on WSNs and wearable technologies for educational purposes. The findings identified the challenges, benefits, cost issues and technology types associated with the use of WSNs and wearable technologies for educational purposes as well as the research gaps. The findings will inform researchers and professionals that aim to improve learning through the use of WSNs and wearable technologies.

Presentation Conference Type Conference Paper (published)
Conference Name Second International Conference on Advanced Wireless Information, Data, and Communication Technologies
Start Date Nov 13, 2017
End Date Nov 14, 2017
Publication Date Nov 13, 2017
Deposit Date Sep 20, 2023
Publisher Association for Computing Machinery (ACM)
Pages 1-5
DOI https://doi.org/10.1145/3231830.3231839